V

visualization

VMD is a molecular visualization program for displaying, animating, and analyzing large biomolecular systems using 3-D graphics and built-in scripting.

SYNTHESIS is an experimental algorithm that visually represents the emergent behavior of a synthetic neural network — an abstraction of how organic life and thought might arise from simple computational interactions.

Inspired by Conway’s Game of Life, this project explores how randomness, local interactions, and algorithmic feedback can generate the illusion of living, thinking patterns.

Mirror of the main Gaia Sky repository hosted on Codeberg: https://codeberg.org/gaiasky/gaiasky

Life, in its smallest form.

Orbital viewer.

A small CLI tool that detects Space Invader patterns in radar scan data and generates heatmaps. Supports customizable gradients, foreground colors, and contrast.

A 3D interactive visualization plugin for the NASA General Mission Analysis Tool (GMAT) software.

This projects exposes the modern form of slavery in capitalism, and this was achieved using employee satisfaction data, it has come to the conclusion that the best members with low social skills are rewared with more work

Generic visualization framework

Visualizes Linux processes in a radial tree

Console app for Linux systems💻, scans given directory (provided by path) recursively and creates schema📊.

Simple program, that can convert video file into ASCII animation and play it in the terminal

Python Data Science is an open source project providing guidance on python (and selectively R, Julia) packages relevant for data science tasks

Rpackage for Trumpet plots

SVG Hiveplot Python API

✨ Innovative and open-source visualization application that transforms various data formats, such as JSON, YAML, XML, CSV and more, into interactive graphs.

Just a library to embed graphviz in a C# project, Allowing to display svg, in live, from a dot description,

PyMolVis is a molecular viewing program to generate high quality renders of molecules

This project provides several implementations that can be used to analyze Hessians associated with synthetic and empirical loss functions.